项目名称: 基于盲双迭代策略的高可靠变速移动水声多用户通信理论和方法
项目编号: No.61771271
项目类型: 面上项目
立项/批准年度: 2018
项目学科: 无线电电子学、电信技术
项目作者: 杨光
作者单位: 青岛理工大学
项目金额: 16万元
中文摘要: 变速移动水声多用户通信技术是一种适用范围广泛的水声多用户通信技术。但是由于变速移动水声多用户通信产生多途干扰、多址干扰和变多普勒频偏,导致通信系统性能降低甚至失效,因此必须进行研究解决这三个关键问题,以保障水下多节点同时变速移动传输数据。.本项目:①提出基于卡尔曼滤波的虚拟盲自适应水声多用户检测算法,解决多途干扰和多址干扰问题,利用虚拟用户技术,实现简单系统结构的水声多用户通信;②提出基于差分卡尔曼滤波的变速移动盲自适应水声多用户检测算法,解决多途干扰、多址干扰和变多普勒频偏问题,利用差分调制解调技术抗变多普勒频偏特性,实现变速移动水声多用户通信。本项目将为变速移动水声多用户通信提供理论和技术支撑。
中文关键词: 水声多用户通信;变速移动水声通信;差分卡尔曼滤波;Turbo架构
英文摘要: Variable-velocity mobile underwater acoustic multiuser communication technology is widely applied in many fields. However, variable-velocity mobile underwater acoustic multiuser communication produces intersymbol interference, multiple access interference and variable Doppler frequency offset, thus the performance reduction or even failure of the communication system. Therefore, it is necessary to make research to resolve these three key issues to ensure that multiple underwater nodes allow variable-velocity mobile data transmission simultaneously. .This project proposed: (1) the virtual blind adaptive underwater acoustic multiuser detection algorithm based on Kalman filter to resolve the problems of intersymbol interference and multiple access interference, using virtual user technology to achieve the underwater acoustic multiuser communication of a simple system structure; (2) the variable-velocity mobile blind adaptive underwater acoustic multiuser detection algorithm based on differential Kalman filter to resolve the problems of intersymbol interference, multiple access interference and variable Doppler frequency offset, using the anti-Doppler frequency offset feature of differential modulation and demodulation technology to achieve variable-velocity mobile underwater acoustic multiuser communication. This project will provide theoretical and technical support for variable-velocity mobile underwater acoustic multiuser communication.
英文关键词: Underwater acoustic multiuser communication;Variable-velocity mobile underwater communication;Differential Kalman filter;Turbo structure